programme overview

This MBA with a specialisation in Business Analytics will equip individuals with the best data science skills and business knowledge needed to take on leadership roles and make informed investment decisions for an organisation. Students will be trained by world class faculty in areas of machine learning, artificial intelligence, and other core data science courses along with gaining an in-depth understanding into organisational leadership, managerial roles, and accounting.

Duration

2 Years

Credits

120 Credits Minimum

Eligibility Criteria

  • Bachelors degree in any stream

WHO SHOULD BE APPLYING FOR THE PROGRAM?

Individuals who want to get be trained in the best data science skills and business knowledge needed to take on leadership roles and make informed investment decisions for an organisation. Students will be trained by world class faculty in areas of machine learning, artificial intelligence, and other core data science courses along with gaining an in-depth understanding into organisational leadership, managerial roles, and accounting.

PROGRAMME HIGHLIGHTS

Intensive Techno-Managerial Curriculum

Taught by numerous world class faculty with industry experience

Cross-disciplinary courses will nurture both your technical and business skills, giving you a holistic view of the enterprise

Internship that combines business decision making and data science principles to solve real world problems

WHAT ARE THE LEARNING OUTCOMES?

Build your professional network among a diverse group of peers while learning from a world-renowned faculty.

MBA students in Business Analytics prepares students to understand, manage and execute every link in the information value chain to enhance business performance.

Significant career edge, providing opportunities in startup companies whose products depend on effective utilization of data.

Leap forward in career in established companies where analyzing data, interpreting results and communicating findings is increasingly critical for driving business growth and managing operational costs and complexity.